Detections
Explore public detection logic contributed by the community across SIEM and rule languages.
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This rule detects potential keylogging activity by identifying either low-level Windows keyboard hooks initiated by suspicious processes or the creation of suspicious log files in user-writable directories by unsigned processes. It filters out common, trusted browser processes and signed Microsoft binaries to reduce noise.
This rule detects various stages of exploitation associated with the CVE-2026-45257 'BUMSRAKETE' vulnerability, which targets FreeBSD kernels. It monitors for the execution of exploit binaries, compilation of source code related to the exploit, the presence of specific staging files in temporary directories, and the subsequent spawning of shells by the exploit process. It also identifies command-line arguments indicative of BUMSRAKETE activity.
This rule identifies potentially malicious activity where a process, which has been dormant on the system for at least 7 days since its initial start, suddenly performs a high volume (more than 50 events in 60 seconds) of file creation or modification events. This behavior pattern is often indicative of ransomware encryption activities, where malware lies dormant before initiating a rapid, destructive encryption cycle.
This rule detects the creation or modification of files that contain common certificate-related keywords such as 'crl', 'certificate', or 'pem'. This activity could indicate the deployment of new certificates, which might be legitimate or malicious, such as for establishing command and control, code signing, or evading detection.
Detects the modification or creation of Pluggable Authentication Module (PAM) files or shared libraries in Linux environments. This technique is often used to establish persistence or intercept authentication credentials by replacing legitimate modules like pam_unix.so with malicious counterparts.
This rule detects potentially suspicious modifications to Nginx configuration files or the usage of FastCGI directives such as fcgiwrap, fastcgi_pass, and proxy_pass. It specifically monitors for actions related to configuration changes (write, modify, create) or the establishment of backend communication via FastCGI parameters, which may indicate an attempt to gain remote code execution or persistence on a web server.
Detects execution and network activity associated with the NUKESPED (ThreatNeedle) backdoor component identified as 'zlrenu8.exe'. The rule monitors for outbound network connections to Fastly CDN infrastructure, which is frequently used by this actor for command-and-control or data exfiltration, as well as file operations within the 'ProgramData' directory indicative of staging activity.
Detects modifications to Windows Registry keys responsible for the 'open' command handler associated with 'exefile'. Adversaries often modify these registry keys to achieve persistence or execute malicious code whenever an executable is opened, by injecting commands or replacing the default handler.
Detects attempts by a Chrome web browser process to create, modify, or rename files associated with sensitive user credentials or application data, such as AWS credentials, browser logins, or environment configuration files. This behavior is indicative of credential theft or staging of sensitive information.
Detects various techniques used by an attacker to escape a container environment or gain unauthorized access to host-level resources. This includes the execution of namespace manipulation tools (nsenter, unshare, chroot), unauthorized access to the docker.sock Unix socket, mounting of host filesystems from within a container, and direct attempts to access the host's /proc/1 namespace files.
Detects unauthorized modifications to SSH 'authorized_keys' files or the '/etc/ssh/sshd_config' configuration file on Linux systems. These actions can be used for persistent access (key injection) or to weaken SSH security controls (e.g., enabling root login) and are typical indicators of account manipulation or compromise.
Detects file creation or write operations within protected macOS System 'Application Support' directories that mimic legitimate Finder or system component filenames. This behavior is indicative of an attacker attempting to masquerade malicious files or persistence mechanisms as core macOS system utilities.
This rule detects suspicious activity related to GitHub Actions workflows, including the creation or modification of workflow configuration files, the placement of suspicious JavaScript files in the repository's .github directory, the execution of the 'Bun' runtime within an Actions runner environment, and cloud-based events indicating workflow modification containing 'Run Copilot' strings. These patterns are often associated with CI/CD pipeline compromise, malicious automation, or unauthorized code execution within build environments.
This rule detects file creation or modification events associated with the Miasma campaign. It identifies specific payload files (e.g., .claude/setup.mjs, .vscode/tasks.json), the use of specific marker strings in file metadata or origin URLs, and obfuscated task configurations in VS Code directories that leverage bun or node to execute base64-encoded or character-encoded commands.
Detects instances where the legitimate Windows utility 'Fondue.exe' (Features on Demand) loads the control panel library 'APPWIZ.cpl' from non-standard locations such as C:\Users\Public or AppData directories. It also identifies the staging phase where 'APPWIZ.cpl' is written to 'C:\Users\Public', which is indicative of a DLL side-loading attack sequence, often associated with the Elephant malware dropper.
Detects unauthorized modifications to SSH 'authorized_keys' files or the '/etc/ssh/sshd_config' configuration file on Linux systems. These actions can be used for persistent access (key injection) or to weaken SSH security controls (e.g., enabling root login) and are typical indicators of account manipulation or compromise.
Detects processes that install a low-level keyboard hook (WH_KEYBOARD_LL) and are simultaneously involved in suspicious activity, such as network connections to non-private IP addresses and file writes to typical temporary directories (e.g., C:\Windows\Temp, C:\Users\Public). This behavior is characteristic of keylogging activity and subsequent data exfiltration or staging.
This rule detects activities associated with VILE ransomware, focusing on unsigned Go-based binaries. It flags processes performing cross-process operations, creating specific file artifacts (e.g., vile_deadlines.json, vile_Decryptor), or invoking direct NT system calls such as NtCreateWaitCompletionPacket to evade EDR hooks.
This rule detects suspicious activity related to GitHub Actions workflows, including the creation or modification of workflow configuration files, the placement of suspicious JavaScript files in the repository's .github directory, the execution of the 'Bun' runtime within an Actions runner environment, and cloud-based events indicating workflow modification containing 'Run Copilot' strings. These patterns are often associated with CI/CD pipeline compromise, malicious automation, or unauthorized code execution within build environments.
Detects techniques associated with Golden SAML attacks, including the use of Mimikatz for ADFS token-signing certificate extraction, the execution of AADInternals PowerShell cmdlets for SAML token forgery, and unauthorized access to the ADFS configuration database (AdfsConfiguration.mdf).
Detects the use of the attrib.exe utility to modify file attributes by applying the hidden (+h), system (+s), and read-only (+r) flags simultaneously to files located within the ProgramData directory. This behavior is a common technique used by malware to hide artifacts from users and evade basic detection while attempting to prevent accidental deletion or modification.
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